NVIDIA's Silicon Co-Design Group is seeking a versatile engineer to innovate low-power silicon validation and system bring-up for AI and accelerated computing platforms. The role focuses on scaling validation processes using AI-powered analytics and automation. The engineer will work at the intersection of silicon architecture, platform validation, and productization, influencing the efficiency and stability of NVIDIA products. This position involves collaboration with various teams to develop methodologies and workflows that enhance production readiness.

• BS/MS in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent experience.
• 10+ years of experience in silicon characterization, low-power feature validation, system integration, or post-silicon productization.
• Strong understanding of silicon power behavior, low-power states, firmware interactions, and system-level validation methodologies.
• Experience building scalable automation, telemetry analytics, or AI-assisted engineering workflows for silicon validation.
• Strong fundamentals in digital design, computer architecture, power analysis, statistics, and scripting/programming skills.
• Hands-on experience with silicon bring-up, lab validation, debug methodologies, and hardware lab instrumentation.
• Familiarity with AI-assisted engineering workflows, intelligent automation frameworks, and telemetry analytics.

• Define the Power & Performance validation strategy across product lines.
• Build intelligent workload characterization frameworks using telemetry and AI-assisted analytics.
• Define instrumentation, telemetry frameworks, and firmware hooks for scalable silicon observability.
• Bring up and validate system-level low-power features in pre-silicon and post-silicon environments.
• Develop AI/ML-assisted infrastructure for telemetry analysis and predictive validation analytics.
• Partner with architecture, firmware, and system integration teams to build scalable validation pipelines.
• Support manufacturing and customer-facing teams in resolving production and feature issues.
• Drive low-power feature readiness from architecture definition through validation and product release.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.